expressed in this presentation are solely those of the presenter and do not necessarily reflect the official policy or position of any current or past employer. All images, code snippets, logos, and trademarks used in this presentation are the property of their respective owners. No claim of ownership is made, and they are used here strictly for educational and illustrative purposes. Generative AI How is it changing the dynamics and what does that mean for us?
and generative AI? Artificial Intelligence AI) refers to systems capable of performing tasks traditionally requiring human intelligence. The majority of AI systems are developed using machine learning ML, which leverages extensive datasets to construct and validate decision logic, forming the foundation of an AI model. Once deployed, AI applications input data into these models to generate outputs that resemble human decision-making. The rapid evolution of ML technologies, the exponential growth of data, and the widespread availability of scalable computing resources are enabling businesses to accelerate their adoption of AI—particularly generative AI—for enhanced innovation and efficiency. Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. Like most AI, gen AI is powered by ML models—very large models that are pre-trained on vast amounts of data and commonly referred to as foundation models FMs.
innovative customer experiences. • Boost employee productivity Empower workforce with gen AI-powered assistant. • Accelerate process optimization Streamline operations, reduce costs, gain data-driven insights, and automate tasks. Use cases to drive business value 4 67% of the organizations say they are increasing investments in gen AI given strong value seen to date1. 1https://www2.deloitte.com/content/dam/Deloitte/us/Documents/consulting/us-state-of-gen-ai-q3.pdf
20% increase in customer satisfaction, 35% revenue increase through reduced cart abandonment.1 1“Customer Experience Powered by Generative AI,” McKinsey & Company, September 2023 2“Four GenAI Use Cases for the Digital Workplace,” Gartner, October 2023 3“Now decides next: Moving from potential to performance,” Deloitte, August 2024 4https://aws.amazon.com/blogs/devops/amazon-q-developer-just-reached-a-260-million-dollar-milestone/ Gen AI improves employee productivity by more than 30% on average.2 42% of organizations say efficiency, productivity, and cost reductions are top benefits achieved through gen AI initiatives.3 Amazon achieves $260 million in efficiency gains with Amazon Q Developer.4
industry and every company should be looking at gen AI. If they donʼt, theyʼre going to fall behind. Itʼs really as simple as that,ˮ says Abid Rahman, senior vice president of innovation at Eversana. “Weʼve lightened the load for our recruiters, saving them from having to conduct between 10,000 and 12,000 conversations a month. Weʼre still assessing the numbers, but it could come to cost savings of around 20%.ˮ Edoardo Conte, CTO, Restworld
LLMs do for you? LLMs are powering applications across multiple industries, including healthcare and life sciences, media and entertainment, financial services, customer engagements, and more. LLMs are trained on trillions of words across many natural language tasks. When supported by the right generative AI infrastructure, they can carry out functions in a conversational manner. Understanding, learning and generating text Answering questions Summarizing dialogues and documents Providing suggestions
for your needs. TensorFlow Enhance and visualize your deep learning applications. Hugging Face Easy-to-deploy and fine-tuned pretrained ML models. PyTorch Highly performant, scalable, and enterprise-ready experiences. 12 mxnet Fast and scalable inference framework with an easy to use, concise API for ML. dmlc XGBoost Efficient open-source implementation of the gradient-boosted trees algorithm. scikit-learn Built on NumPy, SciPy, and matplotlib. Simple and efficient tools for predictive data analysis.
transformative potential in various fields. It offers significant advantages in terms of productivity, innovation, and competitive edge, making it a valuable skill and tool. — github.com/sdp5/genai-min youtu.be/8DUvTc1PYlU [email protected]